Triple

T6312885
Position Surface form Disambiguated ID Type / Status
Subject Faras E141545 entity
Predicate alternativeName P39 FINISHED
Object Pakhoras
Pakhoras is the ancient name of Faras, a significant archaeological and historical site in Nubia known for its medieval Christian cathedral and wall paintings.
E585879 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Pakhoras | Statement: [Faras, alternativeName, Pakhoras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pakhoras
Context triple: [Faras, alternativeName, Pakhoras]
  • A. Parwanoo
    Parwanoo is an industrial town in the Solan district of Himachal Pradesh, India, known for its manufacturing units and proximity to the Haryana border.
  • B. Firozkohi Aimaqs
    Firozkohi Aimaqs are a Persian-speaking semi-nomadic ethnic group primarily inhabiting western and northwestern Afghanistan.
  • C. Umarkot
    Umarkot is a historic town in the Sindh province of Pakistan, traditionally known as the birthplace of the Mughal emperor Akbar.
  • D. Nushki
    Nushki is a town in Pakistan’s Balochistan province, known as a key junction on routes linking the region to Afghanistan and Iran.
  • E. Ishkoman
    Ishkoman is a remote valley settlement in the Ghizer District of Gilgit-Baltistan, Pakistan, known for its rugged mountainous terrain and traditional highland communities.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pakhoras
Triple: [Faras, alternativeName, Pakhoras]
Generated description
Pakhoras is the ancient name of Faras, a significant archaeological and historical site in Nubia known for its medieval Christian cathedral and wall paintings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pakhoras
Target entity description: Pakhoras is the ancient name of Faras, a significant archaeological and historical site in Nubia known for its medieval Christian cathedral and wall paintings.
  • A. Parwanoo
    Parwanoo is an industrial town in the Solan district of Himachal Pradesh, India, known for its manufacturing units and proximity to the Haryana border.
  • B. Firozkohi Aimaqs
    Firozkohi Aimaqs are a Persian-speaking semi-nomadic ethnic group primarily inhabiting western and northwestern Afghanistan.
  • C. Umarkot
    Umarkot is a historic town in the Sindh province of Pakistan, traditionally known as the birthplace of the Mughal emperor Akbar.
  • D. Nushki
    Nushki is a town in Pakistan’s Balochistan province, known as a key junction on routes linking the region to Afghanistan and Iran.
  • E. Ishkoman
    Ishkoman is a remote valley settlement in the Ghizer District of Gilgit-Baltistan, Pakistan, known for its rugged mountainous terrain and traditional highland communities.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c008d00efc8190a36c05b4b4a3bf4b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0649ea98c819086509e175812c6c0 completed March 22, 2026, 9:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6040337908190a10f7cd9c1264267 completed March 27, 2026, 4:13 a.m.
NEDg Description generation batch_69c6056435b481908a63a880b7bcd489 completed March 27, 2026, 4:19 a.m.
NED2 Entity disambiguation (via description) batch_69c605f2369c819080fd52282b20437e completed March 27, 2026, 4:22 a.m.
Created at: March 22, 2026, 4:28 p.m.